On Fri, Sep 27, 2019 at 5:41 PM Charles R Harris
wrote:
> I that the pip that comes with Python 3.8b4?
>
> On Fri, Sep 27, 2019 at 10:12 AM Alan Isaac wrote:
>
>> Upgrading numpy with pip on Python 3.8b4 on Win 10 produced:
>> ERROR: Could not install packages due to an EnvironmentError: [WinErr
I that the pip that comes with Python 3.8b4?
On Fri, Sep 27, 2019 at 10:12 AM Alan Isaac wrote:
> Upgrading numpy with pip on Python 3.8b4 on Win 10 produced:
> ERROR: Could not install packages due to an EnvironmentError: [WinError
> 123] The filename, directory name, or volume label syntax is
On Fri, 2019-09-27 at 15:50 -0700, Nathaniel Smith wrote:
> It is pretty weird that these two statements don't necessarily
> produce the same result:
>
> someufunc(*inputs, out=out_arr)
> out_arr[...] = someufunc(*inputs)
>
Ooopst, fair point. I am not sure I agree, since currently the (mental)
It is pretty weird that these two statements don't necessarily produce the
same result:
someufunc(*inputs, out=out_arr)
out_arr[...] = someufunc(*inputs)
On Fri, Sep 27, 2019, 15:02 Sebastian Berg
wrote:
> On Fri, 2019-09-27 at 11:50 -0700, Sebastian Berg wrote:
> > Hi all,
> >
> > Looking at t
On Fri, 2019-09-27 at 11:50 -0700, Sebastian Berg wrote:
> Hi all,
>
> Looking at the ufunc dispatching rules with an `out` argument, I was
> a
> bit surprised to realize this little gem is how things work:
>
> ```
> arr = np.arange(10, dtype=np.uint16) + 2**15
> print(arr)
> # array([ 0, 2, 4,
Hi all,
Looking at the ufunc dispatching rules with an `out` argument, I was a
bit surprised to realize this little gem is how things work:
```
arr = np.arange(10, dtype=np.uint16) + 2**15
print(arr)
# array([ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18], dtype=uint16)
out = np.zeros(10)
np.add(arr,
NumPy devs,
NEP 32 to remove the financial functions
(https://numpy.org/neps/nep-0032-remove-financial-functions.html) has
been accepted. The next step is to create the numpy-financial package
that will replace them. The repository for the new package is
https://github.com/numpy/numpy-financial.
Upgrading numpy with pip on Python 3.8b4 on Win 10 produced:
ERROR: Could not install packages due to an EnvironmentError: [WinError 123] The
filename, directory name, or volume label syntax is incorrect: '"C:'
However, the install appears to have been successful.
fwiw, Alan Isaac
_
